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book/index.qmd

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# About the Course {.unnumbered}
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This is a free, **short introduction** to the Python programming language, emphasizing practical over theoretical aspects and with a focus on data-related tasks.
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The goal is to get you just enough tools under your belt for you to pursue your own learning path according to your interests.
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Goal: Get you just enough tools under your belt to pursue your own learning path.
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What's in for you:
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✅ Core concepts of the language explained in _simple words_
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✅ Software engineering best-practices (project/dependency management, [`uv`](https://docs.astral.sh/uv/), testing with [pytest](https://docs.pytest.org/en/stable/), error handling, etc.)
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Useful references to deepen your knowledge (talks, books, cheatsheets, etc.)
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✅ Core concepts explained in _simple words_
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✅ Software engineering best-practices (project/dependency management, testing etc.)
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References to talks, books, cheatsheets, etc. to deepen your knowledge
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✅ Exercises for each chapter to ramp up your skills with deliberate practice
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✅ Integrative "Labs" with real-world datasets
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# About the Author
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Fabrizio Damicelli (PhD, Computational Neuroscience) is a self-taught coder who prefers solid intuitions to unnecessary sophistication and fancy jargon.
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Open source advocate, creator and maintainer of a few of Python packages and Open Source projects.
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[Fabrizio Damicelli](https://fabridamicelli.com/) (PhD, Computational Neuroscience) is a coder who prefers solid intuitions to unnecessary sophistication and fancy jargon.
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Open source advocate, creator and maintainer of a few Open Source projects, including several [Python Packages](https://pypi.org/user/fabridamicelli/).
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Learn more about him [here](https://fabridamicelli.github.io).
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You can hire the author to teach this course on-site at your company or university.
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Reach out by email: fabridamicelli at gmail dot com.
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